Ensuring resilience and safety of the transportation system of Kyiv in planning the network of road tunnels

IF 3.3 Q3 TRANSPORTATION Case Studies on Transport Policy Pub Date : 2025-03-01 Epub Date: 2024-12-25 DOI:10.1016/j.cstp.2024.101355
Hennadii Haiko, Illia Savchenko, Andrii Shelestov
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Abstract

The analysis of risk mitigation in the transport infrastructure of the Kyiv city by using a system of car tunnels was conducted, their ranking and construction priorities were determined. The main considered structural and functional factors included: district type, downtown factor, population density, daily pendular movement, arterial network density, average traffic speed at peak hours, surface connectivity, surface road throughput, criticalness, vulnerability. The modified morphological method, involved in the research, took into account the military (terrorist) threats, along with the groups of ecological and technogenic risks. This approach might be useful for the development of the urban paradigm in the geopolitical frontier zones. Additionally, a morphological analysis/analytical hierarchy process hybridization was suggested that provided an alternative point of view with a slightly different ranking of tunnels compared to the basic model. For evaluation of the morphological model parameters, satellite imagery and geospatial Urban Atlas for Kyiv products were used as independent sources of geospatial data. The combination of these diverse datasets enables a deep understanding of the complex, interconnected systems within a city. By utilizing these products and the developed morphological models, the cities’ community can become safer and more resilient, driving the evidence-based transport policies.
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在规划道路隧道网络时确保基辅交通系统的弹性和安全性
通过使用汽车隧道系统对基辅市交通基础设施的风险缓解进行了分析,确定了它们的排名和建设优先级。主要考虑的结构和功能因素包括:区域类型、市中心因素、人口密度、每日钟摆运动、动脉网络密度、高峰时段平均交通速度、地面连通性、地面道路吞吐量、临界性、脆弱性。研究中涉及的改良形态学方法考虑到了军事(恐怖主义)威胁,以及生态和技术风险组。这种方法可能对地缘政治前沿地区城市范例的发展有用。此外,形态学分析/分析层次过程杂交提出了一种替代观点,与基本模型相比,隧道的排名略有不同。为了评估形态模型参数,卫星图像和基辅产品的地理空间城市地图集被用作地理空间数据的独立来源。将这些不同的数据集结合起来,可以深入了解城市中复杂的、相互关联的系统。通过利用这些产品和已开发的形态模型,城市社区可以变得更安全、更有弹性,从而推动基于证据的交通政策。
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来源期刊
CiteScore
5.00
自引率
12.00%
发文量
222
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